Forest Many-Objective Robust Decision Making ('FoRDM') R package FoRDM version 1.0.2 Forest Many-Objective Robust Decision Making ('FoRDM') is a R toolkit for supporting robust forest management under deep uncertainty. It provides a forestry-focused application of Many-Objective Robust Decision Making ('MORDM') to forest simulation outputs, enabling users to evaluate robustness using regret- and 'satisficing'-based measures. 'FoRDM' identifies robust solutions, generates Pareto fronts, and offers interactive 2D, 3D, and parallel-coordinate visualizations. Software Imports: dplyr (>= 1.0.0), ggplot2 (>= 3.3.0), magrittr (>= 2.0.0), tidyr (>= 1.1.0), rlang (>= 0.4.0), tibble (>= 3.0.0), plotly (>= 4.10.0), emoa (>= 0.5.0), RColorBrewer (>= 1.1.0), stats Suggests: testthat (>= 3.0.0) Marc Djahangard <marc.djahangard@ife.uni-freiburg.de> Comprehensive R Archive Network (CRAN) Marc Djahangard [aut, cre], Rasoul Yousefpour [aut] MIT + file LICENSE (https://CRAN.R-project.org/package=FoRDM/LICENSE) 2026-04-07 application/tgz https://CRAN.R-project.org/package=FoRDM doi:10.32614/CRAN.package.FoRDM